scholarly journals Electronic Architecture for a Mobile Manipulator

2018 ◽  
Vol 14 (02) ◽  
pp. 133
Author(s):  
Oscar Aviles ◽  
Mauricio Felipe Mauledoux Monroy ◽  
Oscar Rubiano
Keyword(s):  
Mobile Robot ◽  
Degrees Of Freedom ◽  
Robot Manipulator ◽  
Robotic System ◽  
Mobile Platform ◽  
Mobile Manipulator ◽  
Human Being ◽  
Manipulator Arm ◽  
Electronic Design

A mobile manipulator is a robotic system consisting of a mobile platform on which a manipulator arm is mounted, allowing the robotic system to perform locomotion and manipulation tasks simultaneously. A mobile manipulator has several advantages over a robot manipulator which is fixed, the main advantage is a larger workspace. The robots manipulators are oriented to work collaboratively with the human being in tasks that simultaneously require mobility and ability to interact with the environment through the manipulation of objects. This article will present the electronic design for a mobile robot manipulator with five degrees of freedom and a 6-wheel traction with four of these directional.

scholarly journals Simulation of a Mobile Manipulator on Webots

2018 ◽  
Vol 14 (02) ◽  
pp. 90 ◽  
Author(s):  
Oscar F. Avilés S. ◽  
Oscar G. Rubiano M ◽  
Mauricio F. Mauledoux M ◽  
Angie J. Valencia C ◽  
Robinson Jiménez M
Keyword(s):  
Virtual Environment ◽  
Degrees Of Freedom ◽  
Simulation Software ◽  
Mobile Platform ◽  
Mobile Manipulator ◽  
Mobile Platforms ◽  
Robotic Arms ◽  
Robotic Simulation ◽  
Working Space ◽  
Manipulator Arm

A mobile manipulator is a mobile platform with a mounted serial manipulator. A Mobile Manipulator is a system subject to its kinematic restrictions and the degrees of freedom of the manipulator arm mounted on it. These systems combine the advantages of mobile platforms and robotic arms, and reduce their disadvantages. For example, a mobile manipulator has larger working space when it has a mobile platform, as it offers more functionality during operation. For the previously mentioned in this work will be shown the implementation in the robotic simulation software Webots, a mobile manipulator that allows to determine its operation in a virtual environment

Coordinated Motion Planning of Legged Mobile Manipulator for Tracking the Given End-Effector’s Trajectory

2019 ◽  
Author(s):  
Kondalarao Bhavanibhatla ◽  
Sulthan Suresh-Fazeela ◽  
Dilip Kumar Pratihar
Keyword(s):  
Motion Planning ◽  
Degrees Of Freedom ◽  
Robotic System ◽  
Simulation Software ◽  
Body Motion ◽  
Whole Body ◽  
Mobile Manipulator ◽  
Coordinated Motion ◽  
Multibody Dynamic ◽  
The Given

Abstract In this paper, a novel algorithm is presented to achieve the coordinated motion planning of a Legged Mobile Manipulator (LMM) for tracking the given end-effector’s trajectory. LMM robotic system can be obtained by mounting a manipulator on the top of a multi-legged platform for achieving the capabilities of both manipulation and mobility. To exploit the advantages of these capabilities, the manipulator should be able to accomplish the task, while the hexapod platform moves simultaneously. In the presented approach, the whole-body motion planning is achieved in two steps. In the first step, the robotic system is assumed to be a mobile manipulator, in which the manipulator has two additional translational degrees of freedom at the base. The redundancy of this robotic system is solved by treating it as an optimization problem. Then, in the second step, the omnidirectional motion of the legged platform is achieved with a combination of straight forward and crab motions. The proposed algorithm is tested through a numerical simulation in MATLAB and then, validated on a virtual model of the robot using multibody dynamic simulation software, MSC ADAMS. Multiple trajectories of the end-effector have been tested and the results show that the proposed algorithm accomplishes the given task successfully by providing a singularity-free whole-body motion.

scholarly journals Desain Fuzzy Logic Controller Untuk Pengendali Pergerakan Mobile Manipulator

2020 ◽  
Vol 1 (01) ◽  
pp. 12-18
Author(s):  
Putri Repina Kesuma ◽  
Tresna Dewi ◽  
RD Kusumanto ◽  
Pola Risma ◽  
Yurni Oktarina
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Mobile Robot ◽  
Fuzzy Logic Controller ◽  
Robot Manipulator ◽  
Human Life ◽  
Agricultural Products ◽  
Mobile Manipulator ◽  
Robot Arm

Technology is developing more and more to facilitate human life. Technology enables automation in all areas of life, and robots are among the most frequently used machines in automation. Robots can help with human work in all fields, including agriculture. A mobile robot manipulator is a combination of a robot arm and a mobile robot so that this type of robot can combine the capabilities of the two robots. This paper discusses the design of a robot manipulator to be used in agriculture to replace farmers in the harvesting of agricultural products, such as tomatoes. This paper presents a mechanical, electrical design and uses the Fuzzy Logic Controller as artificial intelligence. The feasibility of the proposed method is demonstrated by simulation in Mobotsim.

Trajectory control of a mobile manipulator in the presence of base disturbance

SIMULATION ◽  
2018 ◽  
Vol 95 (6) ◽  
pp. 529-543 ◽  
Author(s):  
RV Ram ◽  
PM Pathak ◽  
SJ Junco
Keyword(s):  
Mobile Robot ◽  
Dynamic Models ◽  
Control Strategies ◽  
Effective Control ◽  
Mobile Manipulator ◽  
Dynamic Interactions ◽  
Additional Task ◽  
Manipulator Arm ◽  
And Control ◽  
Base Disturbance

A mobile manipulator is typically an assembly of a mobile robot base and an on-board manipulator arm. As the manipulator arm is mounted over the mobile robot base, the controller has the additional task of taking care of the disturbances of the mobile robot due to the dynamic interactions between the mobile robot base and manipulator arm. In the present work, dynamic models for the manipulator arm and an omni-wheeled mobile robot base were developed separately and then both were combined. Two control strategies, namely only manipulator arm control (OMAC) and simultaneous manipulator and base control (SMBC) were developed for the effective control of tip trajectory. In both strategies, an amnesia recovery coupled with classical proportional integral and derivative (PID) control was used. The bond graph methodology was used for the development of the dynamic model and control for the mobile manipulator. Simulation results are presented to illustrate the efficacy of the two control strategies.

scholarly journals „KUKA YOUBOT“ DINAMINIŲ CHARAKTERISTIKŲ TYRIMAS / RESEARCH OF KUKA YOUBOT DYNAMICAL CHARACTERISTICS

2019 ◽  
Vol 11 (0) ◽  
pp. 1-3
Author(s):  
Tadas Lenkutis ◽  
Andrius Dzedzickis ◽  
Oleksii Balitskyi ◽  
Liudas Petrauskas ◽  
Rimgaudas Urbonas ◽  
...  
Keyword(s):  
Degrees Of Freedom ◽  
Vertical Plane ◽  
Operating Mode ◽  
Robotic System ◽  
Mobile Platform ◽  
Robotic Arm ◽  
Dynamical Characteristics ◽  
Vibration Time ◽  
Technical Solutions ◽  
Operational Processes

In order to maintain competitiveness and a technical edge business entity are increasingly implementing advanced technical solutions in their operational processes, most of which include the installation of various type robotic systems. One of the best known and widely distributed examples of universal robotic system is Kuka-Youbot, which is a modular robotic system developed by KUKA as open source project for education and research. This system consists of two main modules, a robotic arm with 5 degrees of freedom, and a omni-directional mobile platform. It can be assembled in various configuration, such as a stationary robotic arm, a mobile platform, a robotic arm mounted on mobile platform and, two robotics arms mounted on one mobile platform. Positions of robot grabber were determined using two photo cameras of 1920×1080 in resolution, rulers and special algorithm in Matlab software. The longest duration of the vibrations was recorded when rotating Joint II on the vertical plane. The shortest-lasting vibrations were recorded when rotating the Joint V. In order to reduce the duration of the manipulator’s vibration time in operating mode, it is recommended to use the robot’s operating positions located at the horizontal plane.

scholarly journals Real Time System Design for a Mobile Manipulator

2018 ◽  
Vol 14 (12) ◽  
pp. 126
Author(s):  
Oscar Fernando Aviles Sánchez ◽  
Mauricio Felipe Mauledoux Monroy ◽  
Oscar Gerardo Ribiano ◽  
Angie Julieth Valencia
Keyword(s):  
Real Time ◽  
Degrees Of Freedom ◽  
Mobile Manipulator ◽  
Robotic Platform ◽  
Time System ◽  
Real Time System ◽  
Working Space ◽  
Cartesian Plane ◽  
Manipulator Arm ◽  
Manipulator Robot

A mobile manipulator is defined as a mechanism composed by a serial manipulator located just above robotic platform. Besides, is a system with kinematic restrictions determined by an independent movement of the wheels and the degrees of freedom of the manipulator arm. The combination of the previous systems increases the advantages in terms of maneuverability, efficiency, range, between others. Another advantage of manipulator robot is the larger working space when it moves over a mobile platform allowing to reach different position on XY cartesian plane. Therefore, the design of a real-time system for a mobile manipulator will be shown in this paper.

scholarly journals Software Sensor to Enhance Online Parametric Identification for Nonlinear Closed-Loop Systems for Robotic Applications

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3653
Author(s):  
Lilia Sidhom ◽  
Ines Chihi ◽  
Ernest Nlandu Kamavuako
Keyword(s):  
Degrees Of Freedom ◽  
Closed Loop ◽  
Sliding Mode ◽  
Robot Manipulator ◽  
Parametric Identification ◽  
Recursive Least Squares ◽  
Unknown Parameters ◽  
Closed Loop Identification ◽  
Input Variables ◽  
Robotic Applications

This paper proposes an online direct closed-loop identification method based on a new dynamic sliding mode technique for robotic applications. The estimated parameters are obtained by minimizing the prediction error with respect to the vector of unknown parameters. The estimation step requires knowledge of the actual input and output of the system, as well as the successive estimate of the output derivatives. Therefore, a special robust differentiator based on higher-order sliding modes with a dynamic gain is defined. A proof of convergence is given for the robust differentiator. The dynamic parameters are estimated using the recursive least squares algorithm by the solution of a system model that is obtained from sampled positions along the closed-loop trajectory. An experimental validation is given for a 2 Degrees Of Freedom (2-DOF) robot manipulator, where direct and cross-validations are carried out. A comparative analysis is detailed to evaluate the algorithm’s effectiveness and reliability. Its performance is demonstrated by a better-quality torque prediction compared to other differentiators recently proposed in the literature. The experimental results highlight that the differentiator design strongly influences the online parametric identification and, thus, the prediction of system input variables.

A novel recursive formulation for dynamic modeling and trajectory tracking control of multi-rigid-link robotic manipulators mounted on a mobile platform

2020 ◽  
pp. 095965182097390
Author(s):  
AM Shafei ◽  
H Mirzaeinejad
Keyword(s):  
Dynamic Modeling ◽  
Predictive Control ◽  
Trajectory Tracking ◽  
Tracking Control ◽  
Robotic System ◽  
Mobile Platform ◽  
Reference Trajectory ◽  
Trajectory Tracking Control ◽  
Recursive Formulation ◽  
Mobile Base

This article establishes an innovative and general approach for the dynamic modeling and trajectory tracking control of a serial robotic manipulator with n-rigid links connected by revolute joints and mounted on an autonomous wheeled mobile platform. To this end, first the Gibbs–Appell formulation is applied to derive the motion equations of the mentioned robotic system in closed form. In fact, by using this dynamic method, one can eliminate the disadvantage of dealing with the Lagrange Multipliers that arise from nonholonomic system constraints. Then, based on a predictive control approach, a general recursive formulation is used to analytically obtain the kinematic control laws. This multivariable kinematic controller determines the desired values of linear and angular velocities for the mobile base and manipulator arms by minimizing a point-wise quadratic cost function for the predicted tracking errors between the current position and the reference trajectory of the system. Again, by relying on predictive control, the dynamic model of the system in state space form and the desired velocities obtained from the kinematic controller are exploited to find proper input control torques for the robotic mechanism in the presence of model uncertainties. Finally, a computer simulation is performed to demonstrate that the proposed algorithm can dynamically model and simultaneously control the trajectories of the mobile base and the end-effector of such a complicated and high-degree-of-freedom robotic system.

Cooperation and Null-Space Control of Networked Omni-Directional Mobile Manipulators

2020 ◽  
Author(s):  
Michael John Chua ◽  
Yen-Chen Liu
Keyword(s):  
Degrees Of Freedom ◽  
Null Space ◽  
Kinematic Model ◽  
Mobile Manipulator ◽  
Main Task ◽  
Mobile Manipulators ◽  
Robot Arm ◽  
Task Space ◽  
End Effector ◽  
Mobile Base

Abstract This paper presents cooperation and null-space control for networked mobile manipulators with high degrees of freedom (DOFs). First, kinematic model and Euler-Lagrange dynamic model of the mobile manipulator, which has an articulated robot arm mounted on a mobile base with omni-directional wheels, have been presented. Then, the dynamic decoupling has been considered so that the task-space and the null-space can be controlled separately to accomplish different missions. The motion of the end-effector is controlled in the task-space, and the force control is implemented to make sure the cooperation of the mobile manipulators, as well as the transportation tasks. Also, the null-space control for the manipulator has been combined into the decoupling control. For the mobile base, it is controlled in the null-space to track the velocity of the end-effector, avoid other agents, avoid the obstacles, and move in a defined range based on the length of the manipulator without affecting the main task. Numerical simulations have been addressed to demonstrate the proposed methods.

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